# Copyright 2023 The KubeEdge Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""
Mining tasks of inference sample based on task attribute extractor

Parameters
----------
samples ： infer sample, see `sedna.datasources.BaseDataSource` for more detail.

Returns
-------
allocations : tasks that assigned to each sample
"""

from sedna.datasources import BaseDataSource


class BaseTaskAllocation:
    """
    Base class of task allocation algorithm

    Parameters
    ----------
    task_extractor : Model or dict
        task extractor is used to predict target tasks
    """

    def __init__(self, task_extractor, **kwargs):
        self.task_extractor = task_extractor

    def __call__(self, samples: BaseDataSource):
        raise NotImplementedError
